IEEE

Analysis of Ring Oscillator Characteristics Induced by Line Edge Roughness Using Convolution Neural Network

Abstract: The gate-all-around field-effect transistors (GAAFETs) are highly susceptible to performance variations caused by process-induced random variation. Line ...
Frontiers

Neurologists-level interpretable CT-based deep neural network for prediction of hemorrhagic transformation after ischemic stroke

Background: Hemorrhagic transformation (HT) is a severe complication following acute ischemic stroke, associated with neurological deterioration and poor clinical outcomes. Deep learning represents a ...
Frontiers

An adaptive fusion of composite attention convolutional neural network for polyp image segmentation

Background: Accurate localization and segmentation of polyp lesions in colonoscopic images are crucial for the early diagnosis of colorectal cancer and treatment planning. However, endoscopic imaging ...
Hosted on MSN

Build a deep neural network from scratch in Python

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...
IEEE

UPN-GCN: Update Positive-Negative Graph Convolution Neural Network in Non-Euclidean Structured Data

Abstract: Graph Convolutional neural Networks (GCNs) demonstrate exceptional effectiveness when working with data that have non-Euclidean structures. In recent years, numerous researchers have ...